Antigenicity prediction and vaccine recommendation of human influenza virus A (H3N2) using convolutional neural networks

The rapid evolution of influenza A viruses poses a great challenge to vaccine development. Analytical and machine learning models have been applied to facilitate the process of antigenicity determination. In this study, we designed deep convolutional neural networks (CNNs) to predict Influenza antig...

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Detalles Bibliográficos
Autores principales: Lee, Eva K., Tian, Haozheng, Nakaya, Helder I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734114/
https://www.ncbi.nlm.nih.gov/pubmed/32750260
http://dx.doi.org/10.1080/21645515.2020.1734397

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